If you run a local business and you've ever wondered why an AI assistant recommends a competitor instead of you, the answer might be hiding in plain sight: the words you use to describe what you do. This post is for owners and managers who want a practical, no-jargon way to understand how assistants like ChatGPT, Gemini and Perplexity actually read business descriptions — and how rewording your services in plain language can make the difference between being recommended and being skipped. By the end, you'll have a clear method for auditing and rewriting your own content, plus a sense of how Gogenx.ai's AI visibility audits and AI-ready content services support this work.
Why Word Choice Matters to AI Assistants
Search engines used to reward keyword density. AI assistants work differently. They read entire sentences and try to understand intent — what a person actually wants, not just which words they typed. When someone asks an assistant, "Who can fix my furnace this weekend?" the assistant is matching that plain, conversational question against business descriptions that sound similarly plain and conversational.
The problem is that many business profiles, menus and service pages are still written the way a trade professional talks to another trade professional, full of internal terminology, model numbers and industry shorthand. That language is accurate, but it's not how a customer phrases a request, and it's not how an AI assistant tends to connect the dots between a question and an answer.
How AI Assistants "Read" Your Business
An AI assistant doesn't browse your website the way a human does. It processes chunks of text, compares the meaning of those chunks to the meaning of a user's question, and decides which businesses are the closest semantic match. This is less about exact keyword matches and more about whether the meaning lines up.
That means a business description written as "HVAC diagnostic and compressor replacement services" might be technically complete, but it doesn't share much obvious meaning with a customer typing "my AC stopped blowing cold air." A description that says "we diagnose why your air conditioner isn't cooling and repair or replace the parts causing it" shares far more overlapping meaning with that everyday question — and is more likely to be surfaced as a relevant answer.
The Jargon Trap: What Confuses AI
Jargon isn't just a readability problem for humans; it's a matching problem for machines. A few common patterns tend to work against local businesses:
- Internal product or service codes that customers never use in conversation.
- Abbreviations that make sense inside an industry but mean nothing to an outside reader or an assistant trying to interpret intent.
- Passive, vague phrasing like "comprehensive solutions provided" that describes nothing specific enough to match a real question.
- Marketing language that emphasizes tone over substance, leaving an assistant with no concrete service to point to.
- One long paragraph covering many services at once, which makes it harder for an assistant to isolate the one relevant service a customer actually asked about.
None of these are wrong from a branding standpoint. But from an AI-matching standpoint, they add friction between a customer's plain question and your very capable answer.
Turning Technical Services Into Everyday Language
Rewriting service descriptions doesn't mean dumbing them down or losing accuracy. It means translating expertise into the words a customer would actually use. Here's a simple process:
- List your services in your own professional terms first. Get the accurate, complete list down before worrying about tone.
- Write the customer version next to each one. Ask: "If someone had this problem and didn't know any technical terms, how would they describe it?"
- Keep both versions in your content. The technical term builds credibility; the plain-language version builds matchability. A single sentence can often hold both.
- Separate services into short, standalone chunks. One service, one clear paragraph or bullet, rather than folding five services into a single block of text.
- Re-read it as a question, not a statement. Does the paragraph answer a plain question a customer might type into an assistant? If not, revise until it does.
- Repeat this across every platform, not just your website — your profile, your menu, your directory listings should all use language that is consistent with the plain version, not just the technical one.
This isn't a one-time edit. As new services are added or seasonal demand shifts the kinds of questions customers ask, the plain-language layer of your content needs the same attention as the technical one.
Examples of Plain-Language Rewrites
To make this concrete, here are a few illustrative comparisons showing the shift from technical phrasing to plain phrasing. These are generic examples meant to show the pattern, not claims about any specific customer:
- Technical: "Residential HVAC compressor diagnostics and replacement."
- Plain: "If your air conditioner isn't cooling, we can figure out why and fix or replace the part causing it."
- Technical: "Full-spectrum dental restorative procedures."
- Plain: "We repair chipped, cracked or worn-down teeth so they look and function normally again."
- Technical: "Comprehensive landscape hardscape installation."
- Plain: "We build patios, walkways and retaining walls for backyards and front entrances."
Notice that the plain version doesn't abandon precision — it simply states the service in the words a customer already has in their head when the problem happens. That overlap in wording and meaning is exactly what an AI assistant is trying to find when it matches a question to a business.
How Gogenx.ai Helps You Speak AI's Language
This is where the technical side of AI visibility meets the writing side. Gogenx.ai runs AI visibility audits that review how your current business content reads — not just whether information is accurate and up to date, but whether it's written in a way assistants can actually match against real customer questions. An audit can flag sections of a profile or page that are too jargon-heavy, too vague, or too tangled together to be useful as a direct answer.
From there, Gogenx.ai's AI-ready content and SEO service helps translate technical service descriptions into the kind of plain, chunkable language that both customers and AI assistants respond to, without losing the accuracy your expertise depends on. Combined with LLM-friendly business profiles, this means the structured data describing your business and the written content describing your services are working from the same plain-language foundation, rather than pulling in two different directions.
Keeping Language Consistent Across Platforms
Plain-language rewrites only help if they show up everywhere an assistant might pull information from — your website, your business profile, and the directories that list you. If your website says "we fix cooling systems" but your directory listing still says "HVAC compressor services," an assistant may see two descriptions that don't obviously match each other, which weakens the overall signal.
Gogenx.ai's directory and listing sync service keeps this language aligned across the places your business appears online, so the plain-language version of your services is the version customers and assistants consistently encounter, no matter where they first come across your business.
Getting Started
If you want to see where your own descriptions might be losing matches to plain-language competitors, the first step is an honest look at how your services currently read. Start with your three or four most commonly requested services, write the plain-language version next to the technical one, and notice how differently they read. That gap is often exactly where AI assistants are failing to connect your business to the customers asking about it.
To get a fuller picture of how your current content and profiles are performing, you can visit Gogenx.ai to learn more about its AI visibility audits, LLM-friendly profiles, and AI-ready content services.
FAQ
Does rewriting service descriptions in plain language mean removing technical terms entirely?
No. Technical terms still build credibility and can stay in your content. The goal is to add a plain-language version alongside them so both specialists and everyday customers — and the AI assistants matching their questions — can find a clear connection to your services.
How does Gogenx.ai help identify jargon-heavy content?
Gogenx.ai's AI visibility audits review existing business content to flag sections that are too technical, vague or tangled to be matched easily against real customer questions, giving a clear starting point for revisions.
Does language consistency across directories matter as much as the wording itself?
Yes. Even well-written plain-language content loses impact if other listings describe the same services differently. Gogenx.ai's directory and listing sync service helps keep service descriptions aligned across the platforms where a business appears.
